GoodLads vs i-have-adhd: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of GoodLads and i-have-adhd — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
GoodLads
GoodLads
AI growth manager for Google Ads that turns account performance into testable hypotheses and ships each one only on your approval.
Key features
- Hypothesis Feed: Daily analysis of search terms, keyword quality, geography, and audiences produces a ranked list of ideas, each naming the campaign and the spend at risk.
- One-Click Shipping with Approval Gate: Any proposed change is applied in a single click but never without explicit owner approval, and live ads are not edited directly.
- Kanban Verdict Board: Hypotheses move through Proposed, Scheduled, Live, and Completed so every test ends with a measured verdict rather than being forgotten.
- Account Treemap Overview: Campaign spend, conversions, and ROAS roll into one visual overview sized by spend and coloured against the account average.
- Least-Risky Lever Selection: Recommendations favour reversible mechanisms such as 50/50 RSA experiments, stepped target CPA changes, and new paused assets.
- Predicted vs Measured Reporting: Each completed experiment compares the predicted lift against the actual result, with budget shifting to the winner.
- Claude Code and Codex Integration: The same workflows can be driven from Claude Code or Codex for teams that work from a coding agent.
Best for
- Performance Review: Get a single overview of how every campaign is doing on spend, conversions, and ROAS without building reports by hand.
- Wasted Spend Discovery: Surface negative keyword opportunities, poor keyword-ad combinations, and geography issues that are draining budget.
- Budget-Capped Campaigns: Identify campaigns limited by budget and lower target CPA in reversible steps to buy cheaper conversions at the same spend.
- Ad Copy Testing: Run benefit-led versus price-led headline experiments as 50/50 splits instead of editing live ads.
- Seasonal Campaign Prep: Stage seasonal copy and sitelink assets in advance, ready for one-click approval when demand spikes.
- Agency Account Management: Manage optimisation hypotheses across multiple client accounts from one board with a shared approval workflow.
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i-have-adhd
ayghri
Coding-agent skill that forces action-first, numbered answers — kills the 'Great question! Let me think...' preamble in Claude Code, Codex, and friends.
Key features
- Action-First Output Rule: Every response leads with the next concrete action instead of preamble.
- Numbered Multi-Step Tasks: Coding tasks come back as numbered lists capped at 5 items each.
- Preamble & Closer Suppression: Eliminates 'Great question!', 'Hope this helps', and other filler.
- Specific Time Estimates: Forces the agent to answer with minutes rather than vague 'a bit' phrasing.
- One-Command Install: /i-have-adhd in Claude Code, $i-have-adhd in Codex, or persistent activation via ~/.claude/.i-have-adhd.
- Auto-Update in Claude Code: Claude Code fetches the skill from GitHub and keeps it up to date — no local clone needed.
- Multi-Language Skill Docs: README available in English, Simplified Chinese, Japanese, Korean, Vietnamese, and Portuguese (BR).
- Fork-and-Tune: Copy skills/i-have-adhd/SKILL.md, edit the 10 rules to taste, restart the agent, and re-invoke.
Best for
- Reduce Preamble Fatigue: Developers who lose time scanning past 'Great question!' openings get straight-to-the-point agent output.
- ADHD-Friendly Workflow: Neurodivergent developers get responses formatted the way their attention can actually consume.
- Terminal-First Sessions: Users driving Claude Code or Codex from a terminal want short, numbered instructions rather than essays.
- Team Style Standard: Teams adopt the skill so every developer's coding agent responds in the same terse format.
- Custom Response Rules: Fork the SKILL.md and hand-tune the 10 rules to fit an internal engineering culture or accessibility need.